<p>在過去幾個月中，量子計算股票如 <strong>IonQ</strong>、<strong>Rigetti Computing</strong> 和 <strong>D-Wave Quantum</strong> 引起了廣泛關注，並且其股價顯著上漲。這些股票所經歷的勢頭無疑使得量子計算成為一個誘人的投資機會。</p>
<p>但正如我之前所表達的，我會謹慎跟隨大眾投資主流量子計算股票。相反，我建議關注大型科技公司，尤其是 <strong>Nvidia</strong>(NVDA -3.12%) 和 <strong>Alphabet</strong>(GOOG 1.16%)(GOOGL 1.13%)。</p>
<p>難道 Nvidia 只是一個芯片公司嗎？而 Alphabet 只是一個廣告巨頭嗎？信不信由你，這兩家 “七大奇蹟” 成員在量子計算運動中都在幕後發揮着重要作用。</p>
<p>讓我們探討一下 Nvidia 和 Alphabet 在量子計算中的角色，並評估這兩隻股票是否是當前的良好購買機會。</p>
<h2>1. Nvidia 如何參與量子計算？</h2>
<p>Nvidia 專注於設計被稱為圖形處理單元（GPU）的芯片。GPU 是處理算法和複雜計算的硬件，幫助訓練生成式人工智能應用，如大型語言模型和機器學習協議。</p>
<p>然而，Nvidia 業務的一個獨特方面是其硬件與軟件之間的緊密集成。該公司還提供一個名為計算統一設備架構（CUDA）的軟件套件，層疊在 Nvidia 的硬件堆棧之上。</p>
<p>在 CUDA 生態系統中，Nvidia 提供了一個名為 CUDA-Q 的相關平台，專注於量子計算開發。CUDA-Q 被宣傳為 “統一編程模型”。簡單來説，CUDA-Q 架構允許 GPU、中央處理單元（CPU）和量子處理單元（QPU）在一個平台上無縫集成。</p>
<p>最近，該公司宣佈 Google 正在利用 CUDA-Q 和 H100 GPU 來推動模擬，這將有助於設計搜索巨頭的量子計算機。在我看來，這裏微妙的想法是，Nvidia 繼續為成為主要硬件和軟件供應商解鎖機會，並探索其各種人工智能產品和服務。</p>
<p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MDQ1MDcvZ2V0dHlpbWFnZXMtMTY0ODYxNzEwOS5qcGcmdz03MDA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MDQ1MDcvZ2V0dHlpbWFnZXMtMTY0ODYxNzEwOS5qcGcmdz03MDA"/></p>
<p>圖片來源：Getty Images。</p>
<h2>2. Alphabet 如何參與量子計算？</h2>
<p>儘管 Nvidia 在半導體領域仍然佔據主導地位，但值得注意的是，包括 Alphabet 在內的許多超大規模公司一直在探索開發自己的芯片。</p>
<p>去年 12 月，Alphabet 就其量子計算雄心做出了重大宣佈。具體來説，Google Quantum 透露其新的量子芯片，名為 Willow，能夠在不到五分鐘的時間內完成一項計算，而這項計算在今天最強大的超級計算機上需要 10 的 27 次方年才能完成。</p>
<h2>Nvidia 和 Alphabet 的股票現在值得購買嗎？</h2>
<p>雖然 Nvidia 和 Alphabet 在量子計算領域取得了顯著進展，但重要的是要退一步考慮一些重要細節。</p>
<p>例如，儘管 Alphabet 的 Willow 芯片具有巨大的處理能力，但解決一個需要 10 的 27 次方年才能完成的問題現在真的重要嗎？就我個人而言，我認為答案是 “否”。</p>
<p>而且儘管 CUDA-Q 似乎已經獲得了一些令人印象深刻的進展，我會提醒投資者不要認為 Nvidia 業務的這一特定部分會在短期內產生顯著的財務影響。</p>
<p><img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/ad11acf20a8a7a80941017eda0c3c51b.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/ad11acf20a8a7a80941017eda0c3c51b.png"/></p>
<p>NVDA 市盈率（前瞻性）數據來自 YCharts。</p>
<p>目前，Nvidia 的前瞻市盈率（P/E）為 46.6。值得注意的是，這遠低於該公司幾年前的前瞻市盈率。考慮到 Nvidia 今天的業務與以往大相徑庭，並且持續在銷售和利潤上創造記錄增長，目前估值倍數的收縮表明 Nvidia 不僅價格合理，而且現在可能被視為便宜。</p>
<p>類似地，Alphabet 的前瞻市盈率為 22，與其三年和五年的平均水平相同。我認為投資者可能低估了 Alphabet 的潛力，因為該公司在廣告領域面臨來自 <strong>Meta Platforms</strong> 和 TikTok 的激烈競爭，以及在雲計算市場中面臨的挑戰，目前該市場由 <strong>Amazon</strong> 和 <strong>Microsoft</strong> 主導。</p>
<p>我認為圍繞 Alphabet 的擔憂是錯位的。儘管面臨各種競爭環境，該公司依然憑藉 Google 搜索和 YouTube 在網上保持主導地位，其雲計算平台迅速成為 Alphabet 下一個大規模現金流的來源。</p>
<p>歸根結底，我認為 Nvidia 和 Alphabet 都是值得大量購買的股票——但不一定是因為量子計算。雖然我認為量子計算在某個時刻可能會成為這兩家公司的主要貢獻者，但我認為還有其他更明確的短期催化劑，尤其是在人工智能領域的其他部分，將影響它們各自的增長。</p>

谷歌-A

谷歌-C

英偉達

<p>英偉達和谷歌正在量子計算領域嶄露頭角，英偉達整合了其用於量子開發的 CUDA-Q 平台，而谷歌的 Willow 芯片則實現了顯著的計算成就。儘管它們在技術上取得了進展，但投資者仍需保持謹慎，因為量子計算的即時財務影響尚不確定。英偉達目前的估值看起來合理，而谷歌的潛力可能因競爭而被低估。兩隻股票都被推薦投資，主要是由於它們更廣泛的人工智能能力，而不僅僅是量子計算</p>

<p>For the past few months, quantum computing stocks such as <strong>IonQ</strong>, <strong>Rigetti Computing</strong>, and <strong>D-Wave Quantum</strong> have garnered a lot of attention and witnessed pronounced run-ups in their share prices. The momentum each of these stocks is experiencing certainly makes the idea of quantum computing a tempting investment opportunity.</p>
<div class="lb-trans"><p>在過去幾個月中，量子計算股票如 <strong>IonQ</strong>、<strong>Rigetti Computing</strong> 和 <strong>D-Wave Quantum</strong> 引起了廣泛關注，並且其股價顯著上漲。這些股票所經歷的勢頭無疑使得量子計算成為一個誘人的投資機會。</p>
</div><p>But as I've expressed previously, I'd caution from following the crowd when it comes to mainstream quantum computing stocks. Instead, I'd suggest turning to big tech -- and in particular, <strong>Nvidia</strong>(NVDA -3.12%) and <strong>Alphabet</strong>(GOOG 1.16%)(GOOGL 1.13%).</p>
<div class="lb-trans"><p>但正如我之前所表達的，我會謹慎跟隨大眾投資主流量子計算股票。相反，我建議關注大型科技公司，尤其是 <strong>Nvidia</strong>(NVDA -3.12%) 和 <strong>Alphabet</strong>(GOOG 1.16%)(GOOGL 1.13%)。</p>
</div><p>Isn't Nvidia just a chip company? And isn't Alphabet just an advertising behemoth? Believe it or not, both of these &#34;Magnificent Seven&#34; members are leading the charge in the quantum computing movement behind the scenes.</p>
<div class="lb-trans"><p>難道 Nvidia 只是一個芯片公司嗎？而 Alphabet 只是一個廣告巨頭嗎？信不信由你，這兩家 “七大奇蹟” 成員在量子計算運動中都在幕後發揮着重要作用。</p>
</div><p>Let's explore how Nvidia and Alphabet are playing a role in quantum computing and assess if either of these stocks are good buying opportunities right now.</p>
<div class="lb-trans"><p>讓我們探討一下 Nvidia 和 Alphabet 在量子計算中的角色，並評估這兩隻股票是否是當前的良好購買機會。</p>
</div><h2>1. How is Nvidia involved in quantum computing?</h2>
<div class="lb-trans"><h2>1. Nvidia 如何參與量子計算？</h2>
</div><p>Nvidia specializes in designing chipsets known as graphics processing units (GPUs). GPUs are the hardware that process algorithms and sophisticated computations that help train generative AI applications, such as large language models and machine learning protocols.</p>
<div class="lb-trans"><p>Nvidia 專注於設計被稱為圖形處理單元（GPU）的芯片。GPU 是處理算法和複雜計算的硬件，幫助訓練生成式人工智能應用，如大型語言模型和機器學習協議。</p>
</div><p>However, one aspect of Nvidia's business that is unique is its tight integration between hardware and software. The company also offers a software suite called Compute Unified Device Architecture (CUDA), which layers on top of Nvidia's hardware stack.</p>
<div class="lb-trans"><p>然而，Nvidia 業務的一個獨特方面是其硬件與軟件之間的緊密集成。該公司還提供一個名為計算統一設備架構（CUDA）的軟件套件，層疊在 Nvidia 的硬件堆棧之上。</p>
</div><p>Within the CUDA ecosystem, Nvidia offers a tangential platform known as CUDA-Q that focuses specifically on quantum computing development. CUDA-Q is marketed as a &#34;unified programming model.&#34; In simple terms, the CUDA-Q architecture allows for seamless integration between GPUs, central processing units (CPUs), and quantum processing units (QPUs), all in a singular platform.</p>
<div class="lb-trans"><p>在 CUDA 生態系統中，Nvidia 提供了一個名為 CUDA-Q 的相關平台，專注於量子計算開發。CUDA-Q 被宣傳為 “統一編程模型”。簡單來説，CUDA-Q 架構允許 GPU、中央處理單元（CPU）和量子處理單元（QPU）在一個平台上無縫集成。</p>
</div><p>Recently, the company announced that Google is leveraging CUDA-Q and H100 GPUs to power simulations that will help in designing the search giant's quantum computer. To me, the subtle idea here is that Nvidia continues to unlock opportunities for becoming both the primary hardware and software provider for major corporations, and their various explorations of AI products and services.</p>
<div class="lb-trans"><p>最近，該公司宣佈 Google 正在利用 CUDA-Q 和 H100 GPU 來推動模擬，這將有助於設計搜索巨頭的量子計算機。在我看來，這裏微妙的想法是，Nvidia 繼續為成為主要硬件和軟件供應商解鎖機會，並探索其各種人工智能產品和服務。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MDQ1MDcvZ2V0dHlpbWFnZXMtMTY0ODYxNzEwOS5qcGcmdz03MDA" alt="" original-src="https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F804507%2Fgettyimages-1648617109.jpg&amp;op=resize&amp;w=700"/></p>
<p>Image source: Getty Images.</p>
<div class="lb-trans"><p>圖片來源：Getty Images。</p>
</div><h2>2. How is Alphabet involved in quantum computing?</h2>
<div class="lb-trans"><h2>2. Alphabet 如何參與量子計算？</h2>
</div><p>Although Nvidia remains the dominant force in semiconductors, it's important to note that many hyperscalers including Alphabet have been exploring developing their own chipware.</p>
<div class="lb-trans"><p>儘管 Nvidia 在半導體領域仍然佔據主導地位，但值得注意的是，包括 Alphabet 在內的許多超大規模公司一直在探索開發自己的芯片。</p>
</div><p>Back in December, Alphabet made a major announcement as it relates to its quantum computing ambitions. Specifically, Google Quantum revealed that its new quantum chip, dubbed Willow, was able to perform a computation in less than five minutes that would otherwise take today's most capable supercomputer 10 septillion years to figure out.</p>
<div class="lb-trans"><p>去年 12 月，Alphabet 就其量子計算雄心做出了重大宣佈。具體來説，Google Quantum 透露其新的量子芯片，名為 Willow，能夠在不到五分鐘的時間內完成一項計算，而這項計算在今天最強大的超級計算機上需要 10 的 27 次方年才能完成。</p>
</div><h2>Are Nvidia and Alphabet stock good buys right now?</h2>
<div class="lb-trans"><h2>Nvidia 和 Alphabet 的股票現在值得購買嗎？</h2>
</div><p>While Nvidia and Alphabet have made notable progress in the field of quantum computing, it's important to take a step back and consider some important details.</p>
<div class="lb-trans"><p>雖然 Nvidia 和 Alphabet 在量子計算領域取得了顯著進展，但重要的是要退一步考慮一些重要細節。</p>
</div><p>For example, even though Alphabet's Willow chip possesses immense processing power, does figuring out a problem that would take 10 septillion years <em>really</em> matter right now? Personally, I think the answer is &#34;no.&#34;</p>
<div class="lb-trans"><p>例如，儘管 Alphabet 的 Willow 芯片具有巨大的處理能力，但解決一個需要 10 的 27 次方年才能完成的問題現在真的重要嗎？就我個人而言，我認為答案是 “否”。</p>
</div><p>And while CUDA-Q appears to already have gained some impressive traction, I'd caution investors from buying into the idea that this specific part of Nvidia's business will make a meaningful financial impact anytime soon.</p>
<div class="lb-trans"><p>而且儘管 CUDA-Q 似乎已經獲得了一些令人印象深刻的進展，我會提醒投資者不要認為 Nvidia 業務的這一特定部分會在短期內產生顯著的財務影響。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://media.ycharts.com/charts/ad11acf20a8a7a80941017eda0c3c51b.png" alt="" original-src="https://media.ycharts.com/charts/ad11acf20a8a7a80941017eda0c3c51b.png"/></p>
<p>NVDA PE Ratio (Forward) data by YCharts.</p>
<div class="lb-trans"><p>NVDA 市盈率（前瞻性）數據來自 YCharts。</p>
</div><p>Right now, Nvidia is trading at a forward price-to-earnings (P/E) multiple of 46.6. Notably, this is much lower than the company's forward P/E from even just a few years ago. Considering Nvidia is a much different business today and consistently generates record growth across sales and profits, the current contraction in valuation multiples suggests Nvidia is not only reasonably priced, but it could be seen as cheap right now.</p>
<div class="lb-trans"><p>目前，Nvidia 的前瞻市盈率（P/E）為 46.6。值得注意的是，這遠低於該公司幾年前的前瞻市盈率。考慮到 Nvidia 今天的業務與以往大相徑庭，並且持續在銷售和利潤上創造記錄增長，目前估值倍數的收縮表明 Nvidia 不僅價格合理，而且現在可能被視為便宜。</p>
</div><p>In a similar fashion, Alphabet's forward P/E of 22 is identical to its three- and five-year averages. I think investors may be discounting Alphabet's potential given the fierce competition the company faces in advertising from <strong>Meta Platforms</strong> and TikTok, and the challenging market dynamics in cloud computing, which is currently dominated by <strong>Amazon</strong> and <strong>Microsoft</strong>.</p>
<div class="lb-trans"><p>類似地，Alphabet 的前瞻市盈率為 22，與其三年和五年的平均水平相同。我認為投資者可能低估了 Alphabet 的潛力，因為該公司在廣告領域面臨來自 <strong>Meta Platforms</strong> 和 TikTok 的激烈競爭，以及在雲計算市場中面臨的挑戰，目前該市場由 <strong>Amazon</strong> 和 <strong>Microsoft</strong> 主導。</p>
</div><p>I think concerns surrounding Alphabet are misaligned. Despite various competitive landscapes, the company remains a dominant force online thanks to Google Search and YouTube, and its cloud computing platform is swiftly becoming Alphabet's next big generator of accelerating cash flow.</p>
<div class="lb-trans"><p>我認為圍繞 Alphabet 的擔憂是錯位的。儘管面臨各種競爭環境，該公司依然憑藉 Google 搜索和 YouTube 在網上保持主導地位，其雲計算平台迅速成為 Alphabet 下一個大規模現金流的來源。</p>
</div><p>At the end of the day, I think both Nvidia and Alphabet are stocks to buy hand over fist -- but not necessarily because of quantum computing. While I think quantum computing could become a major contributor for both businesses at some point, I think there are more clear near-term catalysts underscored by other pockets of the AI realm that will influence their respective growth.</p>
<div class="lb-trans"><p>歸根結底，我認為 Nvidia 和 Alphabet 都是值得大量購買的股票——但不一定是因為量子計算。雖然我認為量子計算在某個時刻可能會成為這兩家公司的主要貢獻者，但我認為還有其他更明確的短期催化劑，尤其是在人工智能領域的其他部分，將影響它們各自的增長。</p>
</div>

Nvidia and Alphabet Are Leading the Quantum Computing AI Race. But Are They a Buy?

- 量子計算股票如 IonQ 和 D-Wave Quantum 近期受到關注，股價上漲明顯。  
- Nvidia 和 Alphabet 在量子計算領域發揮重要作用，Nvidia 提供 CUDA-Q 平台，Alphabet 則推出 Willow 芯片。  
- 儘管量子計算前景廣闊，但當前投資者應關注更直接的增長催化劑。  

英偉達和谷歌-A 在量子計算 AI 競賽中處於領先地位。但它們值得投資嗎？